RecoNet: An Interpretable Neural Architecture for Recommender Systems

Research article (Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019) · cited 19× · AI/ML
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RecoNet: An Interpretable Neural Architecture for Recommender Systems

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RecoNet: An Interpretable Neural Architecture for Recommender Systems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). RecoNet: An Interpretable Neural Architecture for Recommender Systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/reconet-an-interpretable-neural-architecture-for-recommender-systems
MLA “RecoNet: An Interpretable Neural Architecture for Recommender Systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/reconet-an-interpretable-neural-architecture-for-recommender-systems.
BibTeX @misc{4ortxyz_reconet-an-interpretable-neural-architecture-for-recommender-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RecoNet: An Interpretable Neural Architecture for Recommender Systems}}, year = {2026}, url = {https://4ort.xyz/entity/reconet-an-interpretable-neural-architecture-for-recommender-systems}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RecoNet: An Interpretable Neural Architecture for Recommender Systems — https://4ort.xyz/entity/reconet-an-interpretable-neural-architecture-for-recommender-systems (retrieved 2026-05-24)

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